Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They apply plaster or stucco to walls and ceilings to create smooth or textured surfaces, making buildings look nice and weather-resistant.
This role is stable
The career of plasterers and stucco masons is considered "Stable" because most of their work still requires the skills and creativity that only humans can provide. While robots can help with some heavy tasks, like spraying mortar, the detailed and artistic aspects of plastering need a human touch.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is stable
The career of plasterers and stucco masons is considered "Stable" because most of their work still requires the skills and creativity that only humans can provide. While robots can help with some heavy tasks, like spraying mortar, the detailed and artistic aspects of plastering need a human touch.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Plasterers/Stucco Masons
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
So far, robots and AI have only started to show up in plastering work. For example, engineers have built a robot that can spray and smooth mortar on walls [1], and another prototype can pick up and sort construction debris [1]. A construction industry article even says robots and AI are “poised to redefine how we build” scaffolds [2], though this is mostly talk about the future.
In everyday work, however, plasterers still do almost everything by hand. They set up scaffolds, mix and apply plaster with trowels or brushes, and clean job sites manually [3]. We found no widely used AI tools for tasks like estimating materials or creating decorative plaster textures.
In short, today’s machines only help a little with heavy or repetitive parts (like spraying even coats); the creative and finishing work is still done by skilled people.

AI in the real world
Adoption of AI and robots in plastering is likely to be slow and cautious. One reason is cost: building or buying a plastering robot is expensive, so firms will only invest if they really save money. For instance, a report notes that robots can work without breaks and could cut project time and cost [2].
But someone must pay for that robot up front, and on a busy, uneven jobsite machines can struggle. Another factor is labor supply: if plasterers become hard to find or very expensive, companies might look to machines for help. If not, they’ll stick with trained workers.
Social and legal factors matter too. Most customers and codes expect a human to check fine details and quality, especially for craft work. Industry experts say we are still at the “dawn of a new era” of construction robotics [2], meaning change is just beginning.
Since plastering needs manual dexterity and artistry [3], full automation isn’t coming soon. Plasterers can take comfort that their creativity and hands-on skills remain valuable, even as new tools (like planning software or safety aids) arrive [2] [3].

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Median Wage
$56,020
Jobs (2024)
24,200
Growth (2024-34)
+4.1%
Annual Openings
1,900
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Clean and prepare surfaces for applications of plaster, cement, stucco, or similar materials, such as by drywall taping.
Rough the undercoat surface with a scratcher so the finish coat will adhere.
Install guide wires on exterior surfaces of buildings to indicate thickness of plaster or stucco and nail wire mesh, lath, or similar materials to the outside surface to hold stucco in place.
Create decorative textures in finish coat, using brushes or trowels, sand, pebbles, or stones.
Cure freshly plastered surfaces.
Apply coats of plaster or stucco to walls, ceilings, or partitions of buildings, using trowels, brushes, or spray guns.
Apply weatherproof, decorative coverings to exterior surfaces of buildings, such as by troweling or spraying on coats of stucco.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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